Triple

T5663193
Position Surface form Disambiguated ID Type / Status
Subject Bjørnstjerne Bjørnson E124792 entity
Predicate authorOf P4244 FINISHED
Object Paa Storhove E538017 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paa Storhove | Statement: [Bjørnstjerne Bjørnson, authorOf, Paa Storhove]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paa Storhove
Context triple: [Bjørnstjerne Bjørnson, authorOf, Paa Storhove]
  • A. Paa Storhove chosen
    Paa Storhove is a literary work by the renowned Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson.
  • B. Henningsvær
    Henningsvær is a picturesque fishing village in northern Norway, known for its traditional architecture, dramatic coastal scenery, and vibrant arts and tourism scene.
  • C. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • D. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • E. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023232e6481909b2a0456d240fe8e completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a2b38c88190bdd0e172644df081 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:43 p.m.